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Record W6981813584

Feasibility of Virtual Simulation-Based Diabetes Foot Care Education in Patients with Diabetes in Ethiopia: Protocol for a Randomized Controlled Trial

2022· article· en· W6981813584 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldMedicine
TopicMedical Case Reports and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiabetes mellitusRandomized controlled trialGlycemicReferralFoot careResearch designPatient educationDiabetes management
DOInot available

Abstract

fetched live from OpenAlex

Fisseha Zewdu Amdie,1,2 Marian Luctkar-Flude,2 Erna Snelgrove-Clarke,2 Monakshi Sawhney,2 Shitaye Alemu,3 Kevin Woo2 1School of Nursing, University of Gondar, Gondar, Ethiopia; 2School of Nursing, Queen’s University, Kingston, Ontario, Canada; 3Department of Internal Medicine, University of Gondar, Gondar, EthiopiaCorrespondence: Fisseha Zewdu Amdie, Email fmzewdu@gmail.comIntroduction: Diabetes mellitus is a rapidly growing global public health problem; the number of adults with diabetes is expected to increase from 424.9 million in 2017 to 628.6 million in 2045. Approximately 80% of diabetic patients live in low- and middle-income countries where access to care may be limited. For example, in Ethiopia, diabetes care is often rudimentary, and formal, structured diabetes education is almost non-existent. One potential solution to the lack of diabetes management education for patients could be virtual simulation-based diabetes education incorporating the contextual realities of patients in Ethiopia. Despite its great potential to improve glycemic control, delay diabetes-related complications and reduce mortality associated with diabetes, the feasibility of virtual simulation-based diabetes self-management education has not been studied in low- and middle-income settings.Objective: The purpose of the current study is to evaluate the feasibility of a virtual simulation-based Diabetes Foot Care Education (DFCE) program among adult patients with diabetes in Ethiopia.Methods: A randomized controlled feasibility study including participants from University of Gondar Referral Hospital (UoGRH) will be conducted. A sample of 40 participants will be recruited, of which 20 participants will receive the virtual simulation-based education program, and the other 20 participants will continue with their usual diabetes care. After the education program, a questionnaire and structured interview will be used to explore the feasibility (acceptability, practicality) and the potential impact of virtual simulation-based DFCE intervention in patients with diabetes. Data will be analyzed using SPSS version 25 using descriptive statistics, independent t-tests, paired sample t-test, and factorial ANOVA at significance levels of less than 0.05.Discussion: Our study seeks to understand the perceived usefullness and usability of virtual simulation-based diabetes foot care education on behavioural (diabetes foot-care knowledge, foot self-care practices, and foot self-care efficacy). Furthermore, the study will provide insight to assist in the development of technologically assisted and contextually designed DFCE programs.Trial Registration Number: NCT04841291 (ClinicalTrials.gov Identifier).Keywords: diabetes mellitus, feasibility, acceptability, practicability, foot care, Ethiopia

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.138
GPT teacher head0.535
Teacher spread0.396 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it